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AI Trainer Jobs is seeking a SQL Developer to work remotely on an engineering review track that evaluates SQL code, debugging traces, and AI outputs for real-world correctness. Reviewers reproduce failures, create unit tests, and explain fixes so the modeling team can target gaps and improve reliability.
Applicants should have strong SQL experience, the ability to write concise tests, and experience with testing frameworks. This is a contractor role with US-eligibility and flexible weekly hours.
SQL Developer is a remote engineering review track for evaluating SQL code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.
Category: Coding, SWE & Agent Evaluation · Pay: $130 / hr · Location: Remote — US-eligible · Contractor
SQL Developer is a remote engineering review track for evaluating SQL code, debugging traces, and developer-facing AI outputs against real-world correctness standards.
SQL Developer is a remote engineering review track for evaluating SQL code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.
SQL model quality lives or dies on whether the generated code actually compiles, passes tests, and handles edge cases. AuraOne pairs experienced engineers with the modeling team to grade outputs the way a code reviewer would.
Judge generated code and software engineering agents. Read their debugging traces.
Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.
Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.
The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
Placement timing depends on program demand and reviewer confirmation.